// CHECK-SAME: (%arg0: tensor<1x1x9xi32>, %arg1: tensor<1xi32>) -> tensor<1x1x8xi32>
  func.func @xla_gather(%arg0: tensor<1x1x9xi32>, %arg1: tensor<1xi32>) -> tensor<*xi32> {
    %cst = "tf.Const"() {value = dense<[1, 1, 8]> : tensor<3xi32>} : () -> tensor<3xi32>
    %0 = "tf.XlaGather"(%arg0, %arg1, %cst) {dimension_numbers = "\0A\03\00\01\02\1A\01\02", indices_are_sorted = true} : (tensor<1x1x9xi32>, tensor<1xi32>, tensor<3xi32>) -> tensor<*xi32>

  func.return %0: tensor<2x8x8xi32>
}

// -----

// CHECK-LABEL: func @selectV2BroadcastAll
func.func @selectV2BroadcastAll(%arg0: tensor<8x1x1xi1>, %arg1: tensor<1x8x1xi32>, %arg2: tensor<1x1x8xi32>) -> tensor<8x8x8xi32> {
  %0 = "tf.SelectV2"(%arg0, %arg1, %arg2) : (tensor<8x1x1xi1>, tensor<1x8x1xi32>, tensor<1x1x8xi32>) -> tensor<8x8x8xi32>
  func.return %0: tensor<8x8x8xi32>
}

// -----

// -----

func.func @testConcatInvalidOperandRankGreater(%arg0: tensor<1x1x2xi32>, %arg1: tensor<1x1x2xi32>) -> tensor<2x2xi32> {
  // expected-error @+1 {{'tfl.concatenation' op rank of operand #0 must be equal to rank of output, expected 2, got 3}}
  %0 = "tfl.concatenation"(%arg0, %arg1) {axis = 0 : i32, fused_activation_function = "NONE"} : (tensor<1x1x2xi32>, tensor<1x1x2xi32>) -> tensor<2x2xi32>
  func.return %0 : tensor<2x2xi32>
}

  %0 = "tf.Const"() {value = dense<1> : tensor<1x10xi32>} : () -> tensor<1x10xi32>
  %1 = "tf.Const"() {value = dense<1> : tensor<1xi32>} : () -> tensor<i32>
  func.return %0, %1 : tensor<1x10xi32>, tensor<i32>
}

    // CHECK:      metadata
    // CHECK-SAME: args
    // CHECK-SAME: shape
    // CHECK-SAME: dim
    // CHECK-SAME: size: 1
    // CHECK-SAME: dim
    // CHECK-SAME: size: 2
    // CHECK-SAME: dim
    // CHECK-SAME: size: 3

    func.return %0: tensor<1x2x3xi32>
  }